‫قائمة االبحاث‬
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N. Abdelwahab, Ahmed M.R. Fath El-Bab, Samy F. M. Assal, Osamu Tabata, “Design,
characterization and control of SMA springs-based multimodal tactile display device for
biomedical applications”, Mechatronics, 31 (October 2015) pp. 255–263. ISSN: 0957-4158.
(2.99)
Hussein F. M. Ali, Ahmed M. R. Fath El-Bab, Zakarya Zyada, Said M. Megahed, "Estimation
of landmine characteristics in sandy desert using neural networks", NEURAL COMPUTING
AND APPLICATIONS, Springer, JANUARY 2016. ISSN: 0941-0643
(IF: 4.77)
Ahmed Fouly, Ahmed M.R. Fath El-Bab, Mohamed N.A. Nasr, A.A. Abouelsoud, "Modeling
and experimental testing of three-tip configuration tactile sensor for compensating the error
due to soft tissue surface irregularities during stiffness detection", Journal of Measurement,
98 (2017) 112–122. ISSN: 0263-2241
Abdelhameed AA Zayed, Samy FM Assal, Kimihiko Nakano, Tsutomu Kaizuka, Ahmed M.
R. Fath El-Bab, “Design Procedure and Experimental Verification of a Broadband QuadStable 2-DOF Vibration Energy Harvester”, Sensors 19 (13), Pp. 2893, 2019. ISSN: 14248220
(IF: 3.27)
Bilel Maamer, Ayda Boughamoura, Ahmed M.R. Fath El-Bab, Laurent A. Francis,
FarèsTounsi, “A review on design improvements and techniques for mechanical energy
harvesting using piezoelectric and electromagnetic schemes”, Energy Conversion and
Management, Volume 199, 1 November 2019, 111973. ISSN: 0196-8904.
(IF: 8.2)
Gamal A. Nasser, Ahmed M.R. Fath El-Bab, Ahmed L. Abdel-Mawgood, Hisham Mohamed
and Abdelatty M. Saleh,”CO2 Laser Fabrication of PMMA Microfluidic Double T-Junction
Device with Modified Inlet-Angle for Cost-Effective PCR Application”, Journal of
Micromachines 2019, 10, 678; doi:10.3390/mi10100678. ISSN: 2072-666X
Mohamed Abdelwahab, Victor Parque, Ahmed MR Fath Elbab, AA Abouelsoud, Shigeki
Sugano, “Trajectory Tracking of Wheeled Mobile Robots Using Z-Number Based Fuzzy
Logic”, IEEE Access, Volume 8, Pp. 18426-18441, 2020/1/21.
(IF: 4.5)
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Basma Gh Elkilany, AA Abouelsoud, Ahmed MR Fathelbab, Hiroyuki Ishii, “A proposed
decentralized formation control algorithm for robot swarm based on an optimized potential
field method”, NEURAL COMPUTING & APPLICATIONS, 22 May 2020.
(IF: 4.77)